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Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water
Titanium dioxide nanoparticles have risen concerns about their possible toxicity and the European Food Safety Authority recently banned the use of TiO(2) nano-additive in food products. Following the intent of relating nanomaterials atomic structure with their toxicity without having to conduct larg...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778026/ https://www.ncbi.nlm.nih.gov/pubmed/35055235 http://dx.doi.org/10.3390/nano12020217 |
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author | Mancardi, Giulia Alberghini, Matteo Aguilera-Porta, Neus Calatayud, Monica Asinari, Pietro Chiavazzo, Eliodoro |
author_facet | Mancardi, Giulia Alberghini, Matteo Aguilera-Porta, Neus Calatayud, Monica Asinari, Pietro Chiavazzo, Eliodoro |
author_sort | Mancardi, Giulia |
collection | PubMed |
description | Titanium dioxide nanoparticles have risen concerns about their possible toxicity and the European Food Safety Authority recently banned the use of TiO(2) nano-additive in food products. Following the intent of relating nanomaterials atomic structure with their toxicity without having to conduct large-scale experiments on living organisms, we investigate the aggregation of titanium dioxide nanoparticles using a multi-scale technique: starting from ab initio Density Functional Theory to get an accurate determination of the energetics and electronic structure, we switch to classical Molecular Dynamics simulations to calculate the Potential of Mean Force for the connection of two identical nanoparticles in water; the fitting of the latter by a set of mathematical equations is the key for the upscale. Lastly, we perform Brownian Dynamics simulations where each nanoparticle is a spherical bead. This coarsening strategy allows studying the aggregation of a few thousand nanoparticles. Applying this novel procedure, we find three new molecular descriptors, namely, the aggregation free energy and two numerical parameters used to correct the observed deviation from the aggregation kinetics described by the Smoluchowski theory. Ultimately, molecular descriptors can be fed into QSAR models to predict the toxicity of a material knowing its physicochemical properties, enabling safe design strategies. |
format | Online Article Text |
id | pubmed-8778026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87780262022-01-22 Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water Mancardi, Giulia Alberghini, Matteo Aguilera-Porta, Neus Calatayud, Monica Asinari, Pietro Chiavazzo, Eliodoro Nanomaterials (Basel) Article Titanium dioxide nanoparticles have risen concerns about their possible toxicity and the European Food Safety Authority recently banned the use of TiO(2) nano-additive in food products. Following the intent of relating nanomaterials atomic structure with their toxicity without having to conduct large-scale experiments on living organisms, we investigate the aggregation of titanium dioxide nanoparticles using a multi-scale technique: starting from ab initio Density Functional Theory to get an accurate determination of the energetics and electronic structure, we switch to classical Molecular Dynamics simulations to calculate the Potential of Mean Force for the connection of two identical nanoparticles in water; the fitting of the latter by a set of mathematical equations is the key for the upscale. Lastly, we perform Brownian Dynamics simulations where each nanoparticle is a spherical bead. This coarsening strategy allows studying the aggregation of a few thousand nanoparticles. Applying this novel procedure, we find three new molecular descriptors, namely, the aggregation free energy and two numerical parameters used to correct the observed deviation from the aggregation kinetics described by the Smoluchowski theory. Ultimately, molecular descriptors can be fed into QSAR models to predict the toxicity of a material knowing its physicochemical properties, enabling safe design strategies. MDPI 2022-01-10 /pmc/articles/PMC8778026/ /pubmed/35055235 http://dx.doi.org/10.3390/nano12020217 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mancardi, Giulia Alberghini, Matteo Aguilera-Porta, Neus Calatayud, Monica Asinari, Pietro Chiavazzo, Eliodoro Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title | Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title_full | Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title_fullStr | Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title_full_unstemmed | Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title_short | Multi-Scale Modelling of Aggregation of TiO(2) Nanoparticle Suspensions in Water |
title_sort | multi-scale modelling of aggregation of tio(2) nanoparticle suspensions in water |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778026/ https://www.ncbi.nlm.nih.gov/pubmed/35055235 http://dx.doi.org/10.3390/nano12020217 |
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